gpt-oss-safeguard-20b

by OpenAIopenai/gpt-oss-safeguard-20b

  • Text
  • No route yet
  • Released

LLMCompare cannot run gpt-oss-safeguard-20b yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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gpt-oss-safeguard-20b at a glance

Context length
131,072 tokens
Maximum output
65,536 tokens
Accepts
Text
Returns
Text
Features
JSON outputTool callingPrompt caching
Reasoning effort levels
Not supported
Released
29 Oct 2025
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

gpt-oss-safeguard-20b pricing by route

A route is the service LLMCompare calls to reach the model. gpt-oss-safeguard-20b has 1 route. Prices are in US dollars.

Prices of gpt-oss-safeguard-20b on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.075$0.30$0.0375openrouter.ai/openai/gpt-oss-safeguard-20b

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to gpt-oss-safeguard-20b costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Cost per call
$0.00023
1 credits
Cost of 100 calls
$0.0225
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of gpt-oss-safeguard-20b
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 65,536Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...

Description as published for this model. LLMCompare has not edited it.

Models to compare with gpt-oss-safeguard-20b

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with gpt-oss-safeguard-20b
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
GPT-5 NanoOpenAIopenai/gpt-5-nano400k128k$0.05$0.40ReasoningJSONToolsCacheVisionNo route yet
GPT-4.1 NanoOpenAIopenai/gpt-4.1-nano1.05M32.8k$0.10$0.40JSONToolsCacheVisionNo route yet
GPT-6 Luna ProOpenAIopenai/gpt-6-luna-pro1.05M128k$0.10$0.50ReasoningJSONToolsCacheVisionNo route yet
Hy-MT2-30B-A3BTencenttencent/hy-mt2-30b-a3b8.2k4.1k$0.074$0.295JSONNo route yet
Hy-MT2-7BTencenttencent/hy-mt2-7b8.2k4.1k$0.074$0.295JSONNo route yet
Llama 3.2 3B InstructMetameta-llama/llama-3.2-3b-instruct131k72k$0.0509$0.335JSONNo route yet

Questions about gpt-oss-safeguard-20b

How much does gpt-oss-safeguard-20b cost?
On the OpenRouter route, gpt-oss-safeguard-20b costs $0.075 per 1 million input tokens and $0.30 per 1 million output tokens, in US dollars. Input tokens that gpt-oss-safeguard-20b reads from the prompt cache cost $0.0375 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of gpt-oss-safeguard-20b?
gpt-oss-safeguard-20b has a context length of 131,072 tokens and returns up to 65,536 output tokens in one call.
What inputs does gpt-oss-safeguard-20b accept?
gpt-oss-safeguard-20b accepts these inputs: Text. gpt-oss-safeguard-20b returns: Text.
Can I test gpt-oss-safeguard-20b on my own data?
Not yet. LLMCompare lists the prices and parameters of gpt-oss-safeguard-20b, but no route to gpt-oss-safeguard-20b is configured on LLMCompare, so it cannot be selected for an evaluation.